Spatially Granular Fragility Modeling of Transmission Lines for Enhanced Loss of Offsite Power Risk Assessment: A Cell-Based Approach Using Multimodal Earth Observations

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dc.contributor.authorMazin Al-Mahrouqi
dc.contributor.authorAbdollah Shafieezadeh
dc.contributor.authorJieun Hur
dc.contributor.authorJae-Wook Jung
dc.contributor.authorJeong-Gon Ha
dc.contributor.authorDaegi Hahm
dc.date.accessioned2025-11-19T14:59:48Z
dc.date.available2025-11-19T14:59:48Z
dc.date.issued2025-08-10
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/46186
dc.publisherIASMiRT
dc.relation.ispartofseriesD11 - New Technologies (Additive manufacturing, AI, digital twin)
dc.relation.ispartofseriesD11-TS49 - Machine Learning and Artificial Intelligence
dc.relation.ispartofseries00 - SMiRT 25 - Toronto, Canada. August 10-15, 2025
dc.titleSpatially Granular Fragility Modeling of Transmission Lines for Enhanced Loss of Offsite Power Risk Assessment: A Cell-Based Approach Using Multimodal Earth Observations
dc.typeConference Proceeding

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